The QuoData Blog
Welcome to the QuoData news blog!
Here you can find information on our current and past projects and collaborations, our R&D projects and general information on what is happening in the world of data science and quality assurance.
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QuoData News
Modern industrial operations demand predictive maintenance strategies backed by robust quality assurance. Yet many organizations struggle with a critical challenge: measurement uncertainty in sensor systems undermines the very foundation of reliable condition monitoring and accurate failure prediction.
In food microbiology and toxicology, as in many scientific disciplines, method validation can be a challenging task. The complexity stems not only from the strict experimental design and data requirements, but also from the advanced statistical modeling involved and the demand for structured, transparent documentation. Yet these are precisely the foundations for ensuring method reliability, laboratory quality assurance, and regulatory compliance.
Künstliche Intelligenz zur Qualitätssicherung
Modern industrial operations demand predictive maintenance strategies backed by robust quality assurance. Yet many organizations struggle with a critical challenge: measurement uncertainty in sensor systems undermines the very foundation of reliable condition monitoring and accurate failure prediction.
Structured data extraction—the process of transforming unstructured text, images, or documents into organized formats like JSON or databases—has undergone a revolution with large language models (LLMs). Here’s how AI reshapes this field and what you need to consider.
QuoData is pleased to be part of the KI MOD PEM project (AI-based modular mapping of the PEMFC-MEA manufacturing process for quality control of intermediate and end products). This project is supported by the Central Innovation Program for SMEs (ZIM), a nationwide, technology- and industry-open funding program. KI MOD PEM has a duration of 2.5 years and runs until April 30, 2026.
FuE-Projekte
QuoData is pleased to be part of the KI MOD PEM project (AI-based modular mapping of the PEMFC-MEA manufacturing process for quality control of intermediate and end products). This project is supported by the Central Innovation Program for SMEs (ZIM), a nationwide, technology- and industry-open funding program. KI MOD PEM has a duration of 2.5 years and runs until April 30, 2026.
Overview and Aim of the Study
QuoData is excited to announce the collaborative study on the characterization of soil invertebrate communities using DNA metabarcoding.
This study aims to validate genetic methods for soil invertebrate community characterization, focusing on DNA extraction and metabarcoding PCRs. These methods will be used for soil quality assessment. The validated methods will be submitted to ISO for preparation of new ISO standards.
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